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India
ROLES & RESPONSIBILITIES
Experience: 10+ Years (with at least 3+ years in Generative AI/AI/ML initiatives)
Location: [City/Remote/Hybrid – specify]
Employment Type: Full-time
ROLE OVERVIEW
We are seeking a highly skilled GenAI Development Lead to drive the design, development, and deployment of cutting-edge Generative AI solutions across enterprise use cases. This role requires a visionary leader with deep technical expertise in AI/ML, hands-on experience with LLMs (Large Language Models), and a strong background in building scalable AI products. The ideal candidate will be responsible for leading a development team, architecting GenAI applications, ensuring best practices in model lifecycle management, and collaborating with cross-functional stakeholders to bring next-generation AI capabilities to market.
KEY RESPONSIBILITIES
Solution Architecture & Development
Lead the end-to-end development of GenAI solutions, from ideation to production deployment.
Architect and implement scalable GenAI applications using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or equivalent.
Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware conversational AI.
Technical Leadership
Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical excellence.
Define coding standards, best practices, and DevOps/MLOps pipelines for model training, fine-tuning, and deployment.
Collaborate with data scientists to optimize models for performance, cost, and accuracy.
Stakeholder Collaboration
Partner with product managers, business leaders, and domain experts to identify high-value GenAI use cases.
Present technical roadmaps, proof-of-concepts, and solution demos to senior leadership and clients.
Governance & Security
Implement robust data governance, privacy, and compliance controls (e.g., PII masking, GDPR) for AI-driven applications.
Ensure adherence to ethical AI principles and responsible use of Generative AI technologies.
REQUIRED SKILLS & EXPERIENCE
Technical Expertise
10+ years of overall IT/Software development experience, with at least 3+ years focused on Generative AI, LLMs, or advanced AI/ML.
Proficiency in Python, Node.js, or equivalent languages for AI solution development.
Hands-on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models, and RAG pipelines.
Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerized deployments (Docker, Kubernetes).
Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration.
Leadership & Delivery
Proven track record of leading cross-functional development teams to deliver enterprise-scale AI products.
Experience with Agile/Scrum methodologies and project management tools (Jira, Azure DevOps).
Domain Knowledge
Exposure to industries like retail, finance, healthcare, or QSR (preferred).
Understanding of data governance, security, and compliance in AI/ML applications.
PREFERRED QUALIFICATIONS
Experience integrating GenAI with Power Platform (Power Automate, Copilot Studio) or enterprise SaaS ecosystems.
Knowledge of MLOps and AI model monitoring frameworks.
Certifications in AI/ML, Azure AI Engineer, or OpenAI/LangChain (a plus).
Contributions to open-source AI projects or AI research publications.
KEY ATTRIBUTES
Strategic thinker with strong problem-solving and analytical skills.
Excellent communication skills to engage both technical and non-technical stakeholders.
Passion for emerging AI trends and the ability to rapidly learn new technologies.
EXPERIENCE
SKILLS
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